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NIPS
2008
15 years 8 months ago
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
Yuhong Guo
DAGSTUHL
2004
15 years 8 months ago
Adaptive Rich Media Presentations via Preference-Based Constrained Optimization
Personalization and adaptation of multi-media messages are well known and well studied problems. Ideally, each message should reflect its recipient's interests, device capabi...
Ronen I. Brafman, Doron A. Friedman
UAI
2001
15 years 8 months ago
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
Lex Weaver, Nigel Tao
NC
1998
101views Neural Networks» more  NC 1998»
15 years 8 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
AUTOMATICA
2008
92views more  AUTOMATICA 2008»
15 years 6 months ago
Robust high-order repetitive control: Optimal performance trade-offs
High-order repetitive control has previously been introduced to either improve the robustness for period-time uncertainty or reduce the sensitivity for non-periodic inputs of stan...
Goele Pipeleers, Bram Demeulenaere, Joris De Schut...